The rapid development of information technology has led to urgent requirements for high
efficiency and ultralow power consumption. In the past few decades, neuromorphic …

Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …

This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …

Interplay between ions and electrons endows memristor with promising applications from
the high density storages, memory logic gates to neuromorphic chips. The interplay-induced …

With the rapid application of artificial intelligence in daily life and work, the traditional von
Neumann architecture device faces the limitation of scalability and high energy …

The von Neumann bottleneck and memory wall have posed fundamental limitations in
latency and energy consumption of modern computers based on von Neumann architecture …

Direct observation of oxygen dynamics in an oxide‐based second‐order memristor can
provide the valid evidence to clarify the memristive mechanism, however, which is still …

Neuromorphic systems with large-scale parallel computing capability and low power
consumption have become important for the development of artificial intelligence …

As the era of big data dawns, conventional digital computers face increasing difficulties in
performance and power efficiency due to their von Neumann architecture, leading to an …

We introduce a method combining adhesion and conductivity measurements using
conduction atomic force microscopy (AFM) to infer the localized surface redox reactions and …